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Artificial Intelligence Engineer

Queen Square Recruitment· London Area, United Kingdom
Posted 10 Aug 2026 · Added 10 Aug 2026, 18:57
Queen Square RecruitmentRecruitment agencyfounded 2024
AI summary

Work with C#, .NET Core/6-8, ASP.NET Core, Kafka, event-driven architectures, OpenAI, Azure OpenAI, LangChain, and vector databases. Design, develop, and deploy enterprise-scale intelligent applications using Generative AI, machine learning, distributed systems, and real-time data processing.

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Free Tailor for ATS: 10/10 runs left

New Exciting opportunity for the role of AI Engineer

Location: London/ Coventry, UK (2 to 3 days client office)

Contract Duration: 1 Year

IR35 Status: Inside IR35

The Role

Required experienced AI Expert Engineer with 10+ years of software engineering experience and strong expertise in .NET technologies, Kafka-based event-driven architectures, AI/ML solution development, and cloud-native platforms. The ideal candidate will be responsible for designing, developing, and deploying enterprise-scale intelligent applications that leverage Generative AI, machine learning, distributed systems, and real-time data processing.Candidate will collaborate with cross-functional teams to build scalable AI-powered solutions, drive innovation, and establish best practices for modern software architecture, integration, and automation.

Your Profile

Essential skills/experience:

· Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.

· 10+ years of hands-on experience in software engineering and enterprise application development.

· Proven experience delivering large-scale distributed systems and cloud-based applications.

· Strong expertise in C#, .NET Core/.NET Framework, ASP.NET Core, and Microservices Architecture.

· Demonstrated experience implementing AI/ML and Generative AI solutions in enterprise environments.

· Strong knowledge of software design patterns, clean architecture, and domain-driven design principles.

· Experience working in Agile/Scrum delivery environments.

· Excellent analytical, problem-solving, communication, and stakeholder management skills.

· Ability to lead technical discussions, architecture reviews, and solution design workshops.

· Experience working with globally distributed teams and complex enterprise ecosystems.

· Monitor production environments and troubleshoot complex issues across distributed systems.

· Ensure compliance with enterprise security, governance, and responsible AI practices.

· Evaluate emerging AI technologies and recommend innovative solutions to improve business outcomes.

· Mentor junior and senior engineers and contribute to technical capability development across the organization.

Desirable skills/experience:

AI & Generative AI

· Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLM platforms.

· Experience building RAG solutions using vector databases.

· Knowledge of prompt engineering, AI agents, autonomous workflows, and conversational AI.

· Familiarity with LangChain, Semantic Kernel, AutoGen, LangGraph, or equivalent orchestration frameworks.

· Experience with AI observability, model evaluation, and responsible AI practices.

· Understanding of machine learning lifecycle (MLOps) and model deployment strategies.

.NET Technologies

· Expert-level proficiency in C#, ASP.NET Core, .NET 6/7/8.

· Experience with Entity Framework Core, LINQ, Dependency Injection, and Web APIs.

· Strong understanding of multithreading, asynchronous programming, and performance optimization.

· Experience with gRPC, GraphQL, and distributed application design patterns.

Kafka & Event Streaming

· Extensive experience with Apache Kafka, Kafka Streams, Kafka Connect, and Schema Registry.

· Expertise in designing event-driven and asynchronous architectures.

· Knowledge of message serialization formats such as Avro, JSON, and Protobuf.

· Experience implementing fault-tolerant, high-throughput, low-latency streaming systems.

· Hands-on experience with event sourcing and CQRS patterns.